Geographic redundancy determination for time based location information in a wireless radio network

ABSTRACT

Determining levels of geographic redundancy among radios of a wireless radio network is described. The level of geographic redundancy for a radio can affect the determination of location information for a user equipment (UE) on the wireless radio network. The disclosed subject matter can be employed in conjunction with timed fingerprint location (TFL) technologies to facilitate selection of radios employed in determining time values for TFL location determination. Levels of geographic redundancy can be employed to rank or order radios of a wireless radio network so as to reduce the likelihood of using geographically redundant radios in location determination. Further, rules can be selected to adjust threshold values and equations employed in determining the levels of geographic redundancy. Moreover, rules can be selected to apply boundary conditions to reduce the number of determinations formed for a set of radios of the wireless radio network.

TECHNICAL FIELD

The disclosed subject matter relates to a determining geographicredundancy in a wireless radio network, e.g., determination ofgeographically redundant radios employed in determining time basedlocation information in a wireless radio network.

BACKGROUND

In mobile equipment networks, locating user equipments (UEs) can providevaluable additional benefits to users and opportunities for additionalor improved services. Locating UEs in a wireless network can facilitateproviding location-centric services or information in relation to theUE, such as E911 services, mapping services, or traffic informationservices, among many others. Additionally, UE location information canbe employed to improve network performance, to troubleshoot networks, bylaw enforcement, to aggregate valuable demographic information, ornearly a limitless number of other uses. Network timing delays includesite timing delay in the wireless signal path among radio component(s)at the wireless base station and a sector antenna. Network timing delaysfurther include delays that can arise from various mismatches (e.g.,impedance mismatch) among electronic elements and components, straycapacitances and inductances, length of the antenna(s) cable(s) in basestation(s); tower height of base station, signal path scattering, or“signal bounces,” such as multipath or strong reflections, and the like.Propagation delay between a UE and a NodeB is conventionally assumed tobe negligible with respect to timing delay. However, depending on thearchitecture of the serving base station and covered sector antenna(s),signal propagation delay can be non-negligible, particularly indistributed antenna systems and low-power wireless radio cells and causeerror in UE location determinations for traditional methods.

SUMMARY

The following presents a simplified summary of the disclosed subjectmatter in order to provide a basic understanding of some aspects of thevarious embodiments. This summary is not an extensive overview of thevarious embodiments. It is intended neither to identify key or criticalelements of the various embodiments nor to delineate the scope of thevarious embodiments. Its sole purpose is to present some concepts of thedisclosure in a streamlined form as a prelude to the more detaileddescription that is presented later.

In an embodiment, a system can include a processor and memory. Theprocessor can facilitate the execution of computer-executableinstructions stored on the memory. The processor can facilitateexecution of the computer-executable instructions to determine a levelof geographic redundancy for a first radio of a wireless network. Thedetermined level of geographic redundancy can be based on geographicinformation relating to a set of radios, of the wireless network,including the first radio.

In another embodiment, a method can include determining, by a systemincluding at least one processor, a level of geographic redundancy for afirst radio of a wireless network. The determining of the level ofgeographic redundancy can be based on geographic information relating toa set of radios, of the wireless network, including the first radio.

In a further embodiment, a method can include receiving, by a systemincluding at least one processor, predetermined information relating tolevels of geographic redundancy for a set of radios of a wirelessnetwork. The method can further include determining, by the system,location information based on information relating to a selected radio.The selection of the radio can be based on the predetermined informationrelating to the levels of geographic redundancy for the set of radios ofthe wireless network.

To the accomplishment of the foregoing and related ends, the disclosedsubject matter, then, comprises one or more of the features hereinaftermore fully described. The following description and the annexed drawingsset forth in detail certain illustrative aspects of the subject matter.However, these aspects are indicative of but a few of the various waysin which the principles of the subject matter can be employed. Otheraspects, advantages and novel features of the disclosed subject matterwill become apparent from the following detailed description whenconsidered in conjunction with the drawings.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is an illustration of a system that facilitates determining alevel of geographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 2 is a depiction of a system that facilitates determining a levelof geographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 3 illustrates a system that facilitates determining a level ofgeographic redundancy for a timed fingerprint locating enabled system inaccordance with the disclosed subject matter.

FIG. 4 is an illustration of an exemplary system having a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 5 is an illustration of an exemplary system having a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 6 illustrates a method facilitating determining a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 7 illustrates a method for facilitating determining a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure.

FIG. 8 illustrates an exemplary flowchart for a method facilitatingdetermining a level of geographic redundancy in accordance with aspectsof the subject disclosure.

FIG. 9 is a block diagram of an exemplary embodiment of a mobile networkplatform to implement and exploit various features or aspects of thesubject disclosure.

FIG. 10 illustrates a block diagram of a computing system operable toexecute the disclosed systems and methods in accordance with anembodiment.

DETAILED DESCRIPTION

The subject disclosure is now described with reference to the drawings,wherein like reference numerals are used to refer to like elementsthroughout. In the following description, for purposes of explanation,numerous specific details are set forth in order to provide a thoroughunderstanding of the subject disclosure. It may be evident, however,that the subject disclosure may be practiced without these specificdetails. In other instances, well-known structures and devices are shownin block diagram form in order to facilitate describing the subjectdisclosure.

By way of brief background, a network locating system (NELOS) can employtimed fingerprint location (TFL). TFL, as disclosed in U.S. patentapplication Ser. No. 12/712,424, can facilitate determining locationinformation based, in part, on receiving timing measurements between atleast a pair of wireless network radios and a device. In an aspect,determining location information in a NELOS-enabled system, e.g., asystem employing TFL, benefits from employing one or more timingmeasurements for a non-redundant radio link with a device, e.g., timingmeasurements associated with radio links between a NodeB site pair(NBSP) and a mobile device. Non-redundant radio links can generallyemploy non-redundant radios. A radio can be associated with a level ofredundancy where, geographically, two or more radios are close enough toeach other that they result in highly similar timing measurements foruse in location information determination. In an aspect, while radiosthat are close together can be employed in determining locationinformation, they generally will have greater error in a locationdetermination information that radios that are not geographicallyredundant. As an example, radio pairs, e.g., NBSPs, with geographicallyredundant radios in a TFL-enabled system can yield results from a querythat are highly similar and thus, determining an intersection of thosequery results can have a lower level of confidence than would beassociated with query results from NBSPs with non-redundant radios.

A NELOS can employ TFL technologies that can include locationinformation or timing information as disclosed herein and as furtherdisclosed in more detail in U.S. Ser. No. 12/712,424 filed Feb. 25,2010, which application is hereby incorporated by reference in itsentirety. TFL information can facilitate access to location informationfor a mobile device, e.g., a UE. TFL information can be information fromsystems in a timed fingerprint location wireless environment, such as aTFL component of a wireless telecommunications carrier. As anon-limiting example, UEs, including mobile devices not equipped with aGPS-type system, can be associated with TFL information, which canfacilitate determining a location for a UE based on the timinginformation associated with the UE.

In an aspect, TFL information can include information to determine adifferential value for a radio, e.g., a NodeB site pair, and a bin gridframe, as disclosed in more detail in incorporated U.S. Ser. No.12/712,424. A centroid region (possible locations between any site pair)for an observed time value associated with any NodeB site pair (NBSP)can be calculated and can be related to the determined value (in unitsof chip) from any pair of NodeBs. When UE time data is accessed, a valuelook-up can be initiated (e.g., a lookup for “DV(?,X)” as disclosed inmore detail in the application incorporated herein by reference).Relevant NBSPs can be prioritized as part of the look-up. Further, therelevant pairs can be employed as an index to lookup a first primaryset. As an example, time data for a UE can be accessed in relation to alocating event in a TFL wireless carrier environment. In this example,it can be determined that a NBSP, with a first reference frame, be usedfor primary set lookup with the computed DV(?,X) value as the index.This can return, for example, a set of bin grid frame locations forminga hyperbola correlating to the radios of the NBSP. A second lookup canthen be performed for an additional relevant NBSP, using the same valueDV(?,X), as an index into the data set. Continuing the example, thereturned set for the look up with second NBSP can return a second set ofbin grid frames. Thus, the UE is likely located in both sets of bin gridframes. Therefore, where the UE is likely in both sets, it is probablethat the location for the UE is at an intersection of the two sets.Additional NBSPs can be included to further narrow the possiblelocations of the UE by providing additional intersections among relevantbin grid sets. As such, employing TFL information for locationdetermination is demonstrably different from conventional locationdetermination techniques or systems such as GPS, AGPS, triangulation ormultilateration in wireless carrier environments, near field techniques,or proximity sensors.

FIG. 1 is an illustration of a system 100, which facilitates adaptivecalibration in accordance with aspects of the subject disclosure. System100 can include radio geographic information (RGI) component 110 thatcan facilitate access to geographic information related to radios of awireless network. In an aspect, wireless network carriers know thelocation at which the radios of the wireless network are placed as partof deploying the physical resources of a wireless network. In certainembodiments, geographic information for wireless network radios can bein the form of geographic information system (GIS) information. Ageographic information system can be a system designed to handle typesof geographical data. At a very basic level, GIS can be a melange ofcartography, statistical analysis, and database technology. RGIcomponent 110 can enable, in some embodiments, interaction with GISinformation. As a non-limiting example, RGI component 110 can facilitatereceiving geographic position information for radio resources of awireless network carrier by way of a coupling with the carrier's GISsystem.

System 100 can further include rule component 120 that can facilitateaccess to one or more rules associated with determining a level ofgeographic redundancy. In an aspect, rules can relate to definition of,or characterization of geographic information as it relates togeographic redundancy. As an example, a rule can include one or morepredetermined threshold values that correspond to different levels ofredundancy. In a further aspect, rules can relate to boundary conditionsrelated to determinations of geographic redundancy. As an example, inlarge sets of radios, a boundary condition can limit determiningredundancy to radios within a predetermined distance, selected region,selected status, etc. Rule component 120 can also receive rule updatesto facilitate changes to rule sets that affect the determination oflevels of geographic redundancy.

System 100 can further include geographic redundancy component 130 tofacilitate determination of a level of geographic redundancy. Geographicredundancy component 130 can be communicatively coupled to RGI component110 to facilitate receiving geographic information for a set of radiosassociated with a wireless network. Geographic redundancy component 130can also be communicatively coupled to rule component 120 to facilitatereceiving at least a rule associated with determining a level ofgeographic redundancy for the set of radios associated with the wirelessnetwork.

In an aspect, geographic redundancy component 130 can determine a levelof geographic redundancy. A level of geographic redundancy can bebinary, e.g., redundant or not redundant, or can relate to a pluralityof levels of redundancy, e.g., highly redundant, moderately redundant,slightly redundant, not redundant, etc. As an example, a determinationof ‘highly redundant’ can be associated with not using the radio inlocation determination, while a determination of ‘slightly redundant’can be associated with using the radio for location determination onlywhen it is also a well calibrated radio. Additionally, a level ofgeographic redundancy can be employed to rank or order radios, or as afactor in other ranking or ordering techniques, etc. As an example, thehigher the level of geographic redundancy, the lower the radio can beranked for selection in determining location information. Continuing theexample, other factors, such as calibration confidence, etc., can beassociated with increasing the ranking of the radio for use indetermining location information.

In a further aspect, the determined level of geographic redundancy canbe employed to update radio information. Wherein the geometry ofwireless network radios is known, the geographically redundant radioscan be determined and the information can then be associated with theradios such that the information is predetermined with respect todetermining location information based on timing information relating tothe radios of the wireless network. This can facilitate selection ofradios that meet predetermined ranking criteria associated with apredetermined level of geographic redundancy. As an example, a UE can beassociated with a set of radio pairs facilitating a TFL informationdetermination, the set including at least a pair of radios with apredetermined level of geometrically redundancy. In light of thepredetermined level of redundancy, the exemplary TFL informationdetermination can be based on radio pairs of the set of radios withlower levels of geometric redundancy to increase an overall level ofconfidence in the determined location information.

In a further aspect, geographic redundancy component 130 can determinelevels of geometric redundancy for some, all, or no radios in a set ofradios associated with RGI received by way of RGI component 110. In anembodiment, the selection of a subset of radios from a set of radios forwhich RGI is available can be a form of bounding. Bounding can allow,for example, predetermination of a level of geometric redundancy forradios within a predetermined distance from each other, etc. This cansignificantly reduce the number of determinations that are made in largesets of radios, e.g., determinations of radio sets for regions of awireless network, etc.

FIG. 2 is a depiction of a system 200 that can facilitate determining alevel of geographic redundancy in accordance with aspects of the subjectdisclosure. System 200 can include RGI component 210 that can facilitateaccess to geographic information related to radios of a wirelessnetwork. RGI component 210 can enable, in some embodiments, interactionwith GIS information.

RGI component 210 can be communicatively coupled to radio informationstore 212. Radio information store 212 can be a store of informationrelating to a radio of a wireless network of radios. In someembodiments, radio information store 212 can comprise part of acarrier's GIS. Radio information store 212 can warehouse informationabout radios including geographic information, levels of geographicredundancy, radio identification, radio timing values, radio calibrationinformation, or nearly any other type of information relative to a radioof a wireless network. Radio information store 212 can receive updatesto the radio information as a radio update, e.g., information relatingto a new radio, removal of a radio, updating a radio information, etc.

System 200 can further include rule component 220 that can facilitateaccess to one or more rules associated with determining a level ofgeographic redundancy. Rule component 220 can include rule criteriacomponent 222. In an aspect, rules can relate to definition of, orcharacterization of geographic information as it relates to geographicredundancy. As an example, a rule can include one or more predeterminedthreshold values that correspond to different levels of redundancy.Criteria for rules can be received by way of rule criteria component222. As an example, an equation for determining a level of geographicredundancy can be received by way of rule criteria component 222. Asanother example, a rule for determining a level of geographic redundancycan be based on predetermined threshold values that can be received byway of rule criteria component 222.

Rule component 220 can further comprise boundary condition component224. Boundary condition component 224 can receive information relatingto a bounding condition. Rules can include boundary conditions relatedto determinations of geographic redundancy. As an example, in large setsof radios, a boundary condition can limit determining redundancy toradios within a predetermined distance, selected region, selectedstatus, etc. Rule component 220 can also receive rule updates tofacilitate changes to rule sets that affect the determination of levelsof geographic redundancy.

System 200 can further include geographic redundancy component 230 tofacilitate determination of a level of geographic redundancy. Geographicredundancy component 230 can be communicatively coupled to RGI component210 to facilitate receiving geographic information for a set of radiosassociated with a wireless network. Geographic redundancy component 230can also be communicatively coupled to rule component 220 to facilitatereceiving at least a rule associated with determining a level ofgeographic redundancy for the set of radios associated with the wirelessnetwork.

In an aspect, geographic redundancy component 230 can determine a levelof geographic redundancy. Determinations of a level of geometricredundancy can be made by determination component 232 and can be basedon a rule received by way of rule component 220 and RGI by way of RGIcomponent 210. A level of geographic redundancy can be employed to rankor order radios, or as a factor in other ranking or ordering techniques,etc.

In a further aspect, a determined level of geographic redundancy can beemployed to update radio information. Designation component 234 canfacilitate designation a level of geometric redundancy by facilitatingaccess to information relating to the determined level of redundancy.Wherein the geometry of wireless network radios is known, geographicallyredundant radios can be determined and the information can then beassociated with the radios such that the information is predeterminedwith respect to determining location information based on timinginformation relating to the radios of the wireless network. Thus,predetermined levels of geometric redundancy can be determined, atdetermination component 232, and information about said levels can bereceived, by way of designation component 234, for storage at radioinformation store 212 by way of RGI component 210. This can facilitateselection of radios that meet predetermined ranking criteria associatedwith a predetermined level of geographic redundancy.

In another aspect, geographic redundancy component 230 can determinelevels of geometric redundancy for some, all, or no radios in a set ofradios associated with RGI received by way of RGI component 210. In anembodiment, the selection of a subset of radios from a set of radios forwhich RGI is available can be a form of bounding. Bounding can allow,for example, predetermination of a level of geometric redundancy forradios within a predetermined distance from each other, etc. This canreduce the number of determinations that are made in large sets ofradios.

Moreover, detection component 236 can determine if there have beenchanges to information relating to a set of radios, e.g., bycommunicative coupling with radio information store 212 by way of RGIcomponent 210. Changes can include addition of a new radio, e.g., a newradio being installed in a wireless network, etc., deletion of a radio,or updates to an existing radio. Where changes in radios occur, the RGIand geometric redundancy can also be impacted. As such, a detectedchange can allow for an automatic redetermination of geometricredundancy information. Further, the automatic redetermination can befor part, all, or none of a radio set based on which radios are detectedas having changed. As an example, where a single radio is added, thiscan influence a relative few determined levels of geometric redundancy.As another example, where a new region of wireless network is added,e.g., by way of acquiring another wireless carrier, etc., it can be moreprudent to re-determine all or most of the geometric redundancydeterminations.

FIG. 3 illustrates a system 300 that facilitates determining a level ofgeographic redundancy for a timed fingerprint locating enabled system inaccordance with aspects of the subject disclosure. System 300 caninclude RGI component 310 that can facilitate access to geographicinformation related to radios of a wireless network. In certainembodiments, geographic information for wireless network radios can bein the form of GIS information. RGI component 310 can enable, in someembodiments, interaction with GIS information. In an aspect, RGIcomponent 310 can be communicatively coupled to radio information store312. Radio information store 312 can be a store of information relatingto a radio of a wireless network of radios. In some embodiments, radioinformation store 312 can comprise part of a carrier's GIS. Radioinformation store 312 can warehouse information about radios includinggeographic information, levels of geographic redundancy, or nearly anyother type of information relative to a radio of a wireless network.Radio information store 312 can receive updates to the radio informationas a radio update.

System 300 can further include rule component 320 that can facilitateaccess to one or more rules associated with determining a level ofgeographic redundancy. In an aspect, rules can relate to definition of,or characterization of geographic information as it relates togeographic redundancy. In a further aspect, rules can relate to boundaryconditions related to determinations of geographic redundancy. Rulecomponent 320 can also receive rule updates to facilitate changes torule sets that affect the determination of levels of geographicredundancy.

System 300 can further include geographic redundancy component 330 tofacilitate determination of a level of geographic redundancy. Geographicredundancy component 330 can be communicatively coupled to RGI component310 to facilitate receiving geographic information for a set of radiosassociated with a wireless network. Geographic redundancy component 330can also be communicatively coupled to rule component 320 to facilitatereceiving at least a rule associated with determining a level ofgeographic redundancy for the set of radios associated with the wirelessnetwork.

In an aspect, geographic redundancy component 330 can determine a levelof geographic redundancy. A level of geographic redundancy can beemployed to rank or order radios, or as a factor in other ranking orordering techniques, etc. In an aspect, the determined level ofgeographic redundancy can be employed to update radio information. Thiscan facilitate selection of radios that meet predetermined rankingcriteria associated with a predetermined level of geographic redundancy.

In a another aspect, geographic redundancy component 330 can determinelevels of geometric redundancy for some, all, or no radios in a set ofradios associated with RGI received by way of RGI component 310. In anembodiment, the selection of a subset of radios from a set of radios forwhich RGI is available can be a form of bounding. Bounding can allow,for example, predetermination of a level of geometric redundancy forradios within a predetermined distance from each other, etc. This cansignificantly reduce the number of determinations that are made in largesets of radios, e.g., determinations of radio sets for regions of awireless network, etc.

System 300 can further comprise timed fingerprint location (TFL)component 340. TFL component 340 can be communicatively coupled to radioinformation store 312 to receive predetermined geographic redundancyinformation stored thereon by way of geographic redundancy component330. As such, geographic redundancy information can be employed inselection of radio pairs employed in determining location information byway of a TFL system, e.g., NELOS. As an example, a UE can be associatedwith a set of radio pairs facilitating a TFL information determination,the set including at least a pair of radios with a predetermined levelof geometrically redundancy. In light of the predetermined level ofredundancy, the exemplary TFL information determination can be based onradio pairs of the set of radios with lower levels of geometricredundancy to increase an overall level of confidence in the determinedlocation information.

FIG. 4 is an illustration of an exemplary system 400 having a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure. System 400 can include a set of radios, the set includingradios 410, 420, 430, and 440. The set of radios can comprise part of awireless network. Timing signals associated with radio links between theradios of the set and UEs can facilitate determination of locationinformation, e.g., a NELOS or TFL-enabled wireless network. The distancebetween radio 410 and radio 420 can be distance 460. Similarly, thedistance between radio 410 and radio 430 can be distance 450. Likewise,the distance between radio 420 and radio 430 can be distance 470.

In an aspect, UEs can employ radio pairs, such as the pair 410/420 andthe pair 410/430, for determination of location information, such as byway of TFL techniques. However, use of radio pairs 410/420 and 410/430can result in a degree of error where radios 420 and 430 can have alevel of geometric redundancy. As an example, where radio 420 and radio430 are close geometrically with respect to radio 410, the resulting TFLlookups in a TFL-enabled system, can return similar sets of bins thatcan result in an inaccurate union between the returned sets of bins anda widening effect on the probable location of a UE. By predeterminingthat radio 420 and radio 430 have a level of geometric redundancy withregard to radio 410, the selection of radio pairs for TFL lookup usingboth of the redundant radios can be deprioritized, for example, in favorof using just one of the geometrically redundant radios.

In an exemplary embodiment, the level of geometric redundancy can bebinary. The exemplary embodiment can further be based on distance 450and 460 being within, for example, 10% of each other. Then, wheredistances 450 and 460 are within 10% of each other, the distance 470 canbe further evaluated to determine redundancy. As an example, wheredistance 470 is less than 10% of the average of distances 450 and 460,then radios 420 and 430 can be determined to be geometrically redundantwith regard to radio 410.

In another exemplary embodiment, the same exemplary threshold values andrules can be employed and be applied with regard to radios 440, 420, and430. As such, where distances 490 and 480 are within 10% of each other,then distance 470 can be evaluated to determine geometric redundancy.Thus, where distance 470 is less than 10% of the average of distances480 and 490, radios 420 and 430 can be geometrically redundant withregard to radio 440. As can be observed, where radio 410 is much furtheraway from radios 420 and 430 than radio 440, for the exemplary criteria,radios 420 and 430 are more likely to be geometrically redundant withregard to radio 410 than for radio 440.

The level of geometric redundancy information can be stored for theseveral radios, e.g., by way of radio information store, 212 or 312,etc. This predetermined geometric redundancy information can thenfacilitate selection of radio pairs that can be less affected bygeometric redundancy when determining location information based onradio timing information.

It will be noted that the exemplary 10% value is arbitrarily selected toillustrate an example of the disclosed subject matter and that thedisclosure is not so limited to that value or those near it. As furtherexamples, the first determination of the difference between the longlegs of the radio pair triangle, e.g., distances 460 and 450, etc., canbe subject to any threshold value, such as, but not limited to, 1%, 10%,50%, 90%, 100 meters, 2 chip, 5 msec, etc. Similarly, the determinationof a level of geometric redundancy with regard to the short leg of theradio pair triangle, e.g., distance 470, etc., can be subject to anyequation and/or threshold value, such as, but not limited to, distance470 is greater than 1 meter but less than 100 meters; distance 470 isless than 2% of the sum of distances 460 and 450; distance 470 is lessthan 22% of the average of distances 490 and 480, etc.

FIG. 5 is an illustration of an exemplary system 500 having a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure. System 500 can include a set of radios, the set includingradios 510, 520, 530, and 570. The set of radios can comprise part of awireless network. Timing signals associated with radio links between theradios of the set and a UE 502 can facilitate determination of locationinformation, e.g., a NELOS or TFL-enabled wireless network.

Determination of a level of geometric redundancy can occur as disclosedherein. This predetermined level of redundancy can be stored andreceived to facilitate selection of radio pairs for determination oflocation information. Determination of location information can be byway of TFL-enabled techniques, e.g., NELOS. As an example, radios 520and 530 can be predetermined to be geometrically redundant with regardto radio 510 and not geometrically redundant with regard to radio 570.As such, selection of radio pairs for location determination can beconsiderate of the predetermined geometric redundancy.

Continuing the example, if radio pair 510/520 and radio pair 510/530 areselected for determining location information by way of a TFL technique,lookup of the timing values of the pairs can result in exemplaryprobable bin locations defined by curved lines 540 and 550 respectively.As will be noted in the illustration of system 500, bin locations for540 and 550 are highly similar and a union of the two sets of binlocations could result in a probable location between area 560 and 562along curves 540 or 550. This result can be less accurate, due toemploying geometrically redundant radio pairs, than a TFL lookups withnon-redundant radio pairs.

As an example of selecting non-redundant radio pairs, curved line 580can represent the set of returned bin grid locations for an exemplaryTFL lookup for radio pair 570/530. As such, for determining locationinformation for UE 502, it can be determined that employing radio pair510/520 in conjunction with radio pair 510/530 is lower priority becauseof a predetermined geometric redundancy. Therefore, either radio pair510/520 or radio pair 510/530 can be employed with another non-redundantradio pair, such as radio pair 570/530. This can result in determiningthe probable location to be at the union of either curve 540 or 550 withcurve 580. Given that the curves are much less similar, the union can bemore distinct and can have less ambiguity as to the probable location ofUE 502 at 582, rather than between 560 and 562 as discussed earlier inthe example.

In a further aspect, treatment of radio pairs demonstrating a level ofgeometric redundancy can include exclusion of one of the redundant radiopairs as disclosed in the above example. Another treatment option caninclude exclusion of both pairs in favor of purely non-redundant radios.A further treatment can include ‘averaging’ the redundant radio pairs,e.g., an ‘average’ of radio 520 and radio 530 with regard to radio 510can return an average of the curves 540 and 550. Yet another treatmentcan include selecting one or more of the redundant radios based onanother criteria in light of the radios being redundant, for example,where the radios are redundant but have the most recent calibration theycan still be selected over other non-redundant but poorly calibratedradios, though the selection techniques are beyond the scope of thepresent disclosure.

In view of the example system(s) described above, example method(s) thatcan be implemented in accordance with the disclosed subject matter canbe better appreciated with reference to flowcharts in FIG. 6-FIG. 8. Forpurposes of simplicity of explanation, example methods disclosed hereinare presented and described as a series of acts; however, it is to beunderstood and appreciated that the claimed subject matter is notlimited by the order of acts, as some acts may occur in different ordersand/or concurrently with other acts from that shown and describedherein. For example, one or more example methods disclosed herein couldalternatively be represented as a series of interrelated states orevents, such as in a state diagram. Moreover, interaction diagram(s) mayrepresent methods in accordance with the disclosed subject matter whendisparate entities enact disparate portions of the methods. Furthermore,not all illustrated acts may be required to implement a describedexample method in accordance with the subject specification. Furtheryet, two or more of the disclosed example methods can be implemented incombination with each other, to accomplish one or more aspects hereindescribed. It should be further appreciated that the example methodsdisclosed throughout the subject specification are capable of beingstored on an article of manufacture (e.g., a computer-readable medium)to allow transporting and transferring such methods to computers forexecution, and thus implementation, by a processor or for storage in amemory.

FIG. 6 illustrates aspects of a method 600 facilitating determining alevel of geographic redundancy in accordance with aspects of the subjectdisclosure. At 610, radio geographic information (RGI) can be received.RGI can be related to radios of a wireless network. Whereas wirelessnetwork carriers know the location at which radios of a wireless networkare placed as part of deploying the physical resources of a wirelessnetwork, RGI can include the geographic information of radios in thewireless network. In certain embodiments, geographic information forwireless network radios can be in the form of geographic informationsystem (GIS) information. A geographic information system can be asystem designed to handle types of geographical data.

At 620, a level of geographic redundancy can be determined based on theRGI received at 610. The determination of the level of geographicredundancy can be based on a rule. In an aspect, rules can relate todefinition of, or characterization of geographic information as itrelates to geographic redundancy. As an example, a rule can include apredetermined threshold value that corresponds to different levels ofredundancy. In a further aspect, rules can relate to boundary conditionsrelated to determinations of geographic redundancy. As an example, inlarge sets of radios, a boundary condition can limit determiningredundancy to radios within a predetermined distance, selected region,selected status, etc.

A level of geographic redundancy can be binary or can relate to aplurality of levels of redundancy. Additionally, a level of geographicredundancy can be employed to rank or order radios, or as a factor inother ranking or ordering techniques, etc. In a further aspect, levelsof geometric redundancy can be determined for some, all, or no radios ina set of radios associated with received RGI. In an aspect, theselection of a subset of radios from a set of radios for which RGI isavailable can be a form of bounding. Bounding can allow, for example,predetermination of a level of geometric redundancy for radios within apredetermined distance from each other, etc. This can significantlyreduce the number of determinations that are made in large sets ofradios, e.g., determinations of radio sets for regions of a wirelessnetwork, etc.

At 630, radio information can be updated based on the determined levelof geographic redundancy. At this point, method 600 can end. Adetermined level of geographic redundancy can be employed to updateradio information. This can facilitate selection of radios that meetpredetermined ranking criteria associated with a predetermined level ofgeographic redundancy. As an example, a UE can be associated with a setof radio pairs facilitating a TFL information determination, the setincluding at least a pair of radios with a predetermined level ofgeometrically redundancy. In light of the predetermined level ofredundancy, the exemplary TFL information determination can be based onradio pairs of the set of radios with lower levels of geometricredundancy to increase an overall level of confidence in the determinedlocation information.

FIG. 7 illustrates a method 700 that facilitates determining a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure. At 710, radio information can be received. Radio informationcan be for a set of radios (RS) including a first radio (RA) a secondradio (RB) and a third radio (RC) of a wireless network. At 720, RGI canbe determined from the radio information received at 710. RGI can berelated to radios of a wireless network. RGI can include the geographicinformation of radios in the wireless network.

At 730, the difference between the distance from the first to the thirdradio and the distance from the second to the third radio can bedetermined, e.g., the difference between RA to RC (AC) and RB to RC(BC). In an aspect, this can be written in equation form as |AC−BC|. At740, a distance between the first and second radio can be determined,e.g., the distance RA to RB (AB).

At 750, a level of geographic redundancy can be determined based on thedistances determined at 730 and 740, e.g., AC, BC, and AB, etc. Thedetermination of the level of geographic redundancy can be based on arule. In an aspect, rules can relate to definition of, orcharacterization of geographic information as it relates to geographicredundancy. As an example, a rule can include a predetermined thresholdvalue that corresponds to different levels of redundancy. In a furtheraspect, rules can relate to boundary conditions related todeterminations of geographic redundancy. As an example, in large sets ofradios, a boundary condition can limit determining redundancy to radioswithin a predetermined distance, selected region, selected status, etc.

A level of geographic redundancy can be binary or can relate to aplurality of levels of redundancy. Additionally, a level of geographicredundancy can be employed to rank or order radios, or as a factor inother ranking or ordering techniques, etc. In a further aspect, levelsof geometric redundancy can be determined for some, all, or no radios ina set of radios associated with received RGI. In an aspect, theselection of a subset of radios from a set of radios for which RGI isavailable can be a form of bounding. Bounding can allow, for example,predetermination of a level of geometric redundancy for radios within apredetermined distance from each other, etc. This can significantlyreduce the number of determinations that are made in large sets ofradios, e.g., determinations of radio sets for regions of a wirelessnetwork, etc.

In an embodiment, the determination of a level of geographic redundancycan be based on a two-part determination. The first part of thedetermination can be based on the distance difference determined at 730.As a non-limiting example, a rule for the first part of thedetermination can be that to proceed to the second part of thedetermination the difference between the distance from the first to thethird radio and the distance from the second to the third radio must bewithin 10%. The first part of the exemplary determination, in equationform, can be

$\quad\left\{ \begin{matrix}{{{{A\; C} - {BC}}} \leq {0.1\left( {A\; C} \right)}} \\{{{{A\; C} - {BC}}} \leq {0.1{\left( {B\; C} \right).}}}\end{matrix} \right.$

The second part of the determination for the particular embodiment canbe based on a comparison of the distance between the first and secondradios and the determined distance from the first part of thedetermination. As a non-limiting example of the second part of thedetermination, inclusive of the results of the first part of thedetermination, in equation form, can be that geometric redundancy ispresent if, [2(AB)/((AC)+(BC))]≦0.1 . It will be noted that theexemplary threshold values and exemplary equations are merely forillustration and are non-limiting. It will further be noted that otherequations and threshold values can be employed without departing fromthe scope of the present subject matter. Moreover, the particularexample of a two-part determination is non-limiting and other examplesare not presented simply for clarity and brevity, though all such othertechniques for determining a level of geographic redundancy are to beconsidered within the scope of the presently disclosed subject matter.

At 760, radio information can be updated based on the determined levelof geographic redundancy. At this point, method 700 can end. Adetermined level of geographic redundancy can be employed to updateradio information. This can facilitate selection of radios that meetpredetermined ranking criteria associated with a predetermined level ofgeographic redundancy. As an example, a UE can be associated with a setof radio pairs facilitating a TFL information determination, the setincluding at least a pair of radios with a predetermined level ofgeometrically redundancy. In light of the predetermined level ofredundancy, the exemplary TFL information determination can be based onradio pairs of the set of radios with lower levels of geometricredundancy to increase an overall level of confidence in the determinedlocation information.

FIG. 8 illustrates a method 800 that facilitates determining a level ofgeographic redundancy in accordance with aspects of the subjectdisclosure. At 810, radio information can be received. Radio informationcan be for a set of radios (RS) including a first radio (RA) a secondradio (RB) and a third radio (RC) of a wireless network. At 820, RGI canbe determined from the radio information received at 810. RGI can berelated to radios of a wireless network, e.g., RS. RGI can include thegeographic information of radios in the wireless network.

At 830, it can be determined if the difference between the distance fromthe first to the third radio and the distance from the second to thethird radio is within a predetermined range of values, e.g., thedifference between distance AC can be less than a predeterminedpercentage of the distance BC. If the determination at 830 isaffirmative, at 840, it can be determined if a distance between thefirst and second radio, e.g., distance AB, is less than a weightedaverage of the distance from the first to the third radio and thedistance from the second to the third radio, e.g.,

${AB} < {\frac{\left( {{AC} + {BC}} \right)}{20}.}$

Where 840 is determined in the affirmative, a level of geographicredundancy is indicated and method 800 proceeds to 850.

At 850, radio information can be updated based on the determined levelof geographic redundancy. At this point, method 800 can end. Adetermined level of geographic redundancy can be employed to updateradio information. This can facilitate selection of radios that meetpredetermined ranking criteria associated with a predetermined level ofgeographic redundancy.

It will be noted that the exemplary threshold values and exemplaryequations are merely for illustration and are non-limiting. It willfurther be noted that other equations and threshold values can beemployed without departing from the scope of the present subject matter.

FIG. 9 presents an example embodiment 900 of a mobile network platform910 that can implement and exploit one or more aspects of the disclosedsubject matter described herein. Generally, wireless network platform910 can include components, e.g., nodes, gateways, interfaces, servers,or disparate platforms, that facilitate both packet-switched (PS) (e.g.,internet protocol (IP), frame relay, asynchronous transfer mode (ATM))and circuit-switched (CS) traffic (e.g., voice and data), as well ascontrol generation for networked wireless telecommunication. As anon-limiting example, wireless network platform 910 can be included intelecommunications carrier networks, and can be considered carrier-sidecomponents as discussed elsewhere herein. Mobile network platform 910includes CS gateway node(s) 912 which can interface CS traffic receivedfrom legacy networks like telephony network(s) 940 (e.g., publicswitched telephone network (PSTN), or public land mobile network (PLMN))or a signaling system #7 (SS7) network 970. Circuit switched gatewaynode(s) 912 can authorize and authenticate traffic (e.g., voice) arisingfrom such networks. Additionally, CS gateway node(s) 912 can accessmobility, or roaming, data generated through SS7 network 970; forinstance, mobility data stored in a visited location register (VLR),which can reside in memory 930. Moreover, CS gateway node(s) 912interfaces CS-based traffic and signaling and PS gateway node(s) 918. Asan example, in a 3GPP UMTS network, CS gateway node(s) 912 can berealized at least in part in gateway GPRS support node(s) (GGSN). Itshould be appreciated that functionality and specific operation of CSgateway node(s) 912, PS gateway node(s) 918, and serving node(s) 916, isprovided and dictated by radio technology(ies) utilized by mobilenetwork platform 910 for telecommunication.

In addition to receiving and processing CS-switched traffic andsignaling, PS gateway node(s) 918 can authorize and authenticatePS-based data sessions with served mobile devices. Data sessions caninclude traffic, or content(s), exchanged with networks external to thewireless network platform 910, like wide area network(s) (WANs) 950,enterprise network(s) 970, and service network(s) 980, which can beembodied in local area network(s) (LANs), can also be interfaced withmobile network platform 910 through PS gateway node(s) 918. It is to benoted that WANs 950 and enterprise network(s) 960 can embody, at leastin part, a service network(s) like IP multimedia subsystem (IMS). Basedon radio technology layer(s) available in technology resource(s) 917,packet-switched gateway node(s) 918 can generate packet data protocolcontexts when a data session is established; other data structures thatfacilitate routing of packetized data also can be generated. To thatend, in an aspect, PS gateway node(s) 918 can include a tunnel interface(e.g., tunnel termination gateway (TTG) in 3GPP UMTS network(s) (notshown)) which can facilitate packetized communication with disparatewireless network(s), such as Wi-Fi networks.

In embodiment 900, wireless network platform 910 also includes servingnode(s) 916 that, based upon available radio technology layer(s) withintechnology resource(s) 917, convey the various packetized flows of datastreams received through PS gateway node(s) 918. It is to be noted thatfor technology resource(s) 917 that rely primarily on CS communication,server node(s) can deliver traffic without reliance on PS gatewaynode(s) 918; for example, server node(s) can embody at least in part amobile switching center. As an example, in a 3GPP UMTS network, servingnode(s) 916 can be embodied in serving GPRS support node(s) (SGSN).

For radio technologies that exploit packetized communication, server(s)914 in wireless network platform 910 can execute numerous applicationsthat can generate multiple disparate packetized data streams or flows,and manage (e.g., schedule, queue, format . . . ) such flows. Suchapplication(s) can include add-on features to standard services (forexample, provisioning, billing, customer support . . . ) provided bywireless network platform 910. Data streams (e.g., content(s) that arepart of a voice call or data session) can be conveyed to PS gatewaynode(s) 918 for authorization/authentication and initiation of a datasession, and to serving node(s) 916 for communication thereafter. Inaddition to application server, server(s) 914 can include utilityserver(s), a utility server can include a provisioning server, anoperations and maintenance server, a security server that can implementat least in part a certificate authority and firewalls as well as othersecurity mechanisms, and the like. In an aspect, security server(s)secure communication served through wireless network platform 910 toensure network's operation and data integrity in addition toauthorization and authentication procedures that CS gateway node(s) 912and PS gateway node(s) 918 can enact. Moreover, provisioning server(s)can provision services from external network(s) like networks operatedby a disparate service provider; for instance, WAN 950 or GlobalPositioning System (GPS) network(s) (not shown). Provisioning server(s)can also provision coverage through networks associated to wirelessnetwork platform 910 (e.g., deployed and operated by the same serviceprovider), such as femto-cell network(s) (not shown) that enhancewireless service coverage within indoor confined spaces and offload RANresources in order to enhance subscriber service experience within ahome or business environment by way of UE 975.

It is to be noted that server(s) 914 can include one or more processorsconfigured to confer at least in part the functionality of macro networkplatform 910. To that end, the one or more processor can execute codeinstructions stored in memory 930, for example. It is should beappreciated that server(s) 914 can include a content manager 915, whichoperates in substantially the same manner as described hereinbefore.

In example embodiment 900, memory 930 can store information related tooperation of wireless network platform 910. Other operationalinformation can include provisioning information of mobile devicesserved through wireless platform network 910, subscriber databases;application intelligence, pricing schemes, e.g., promotional rates,flat-rate programs, couponing campaigns; technical specification(s)consistent with telecommunication protocols for operation of disparateradio, or wireless, technology layers; and so forth. Memory 930 can alsostore information from at least one of telephony network(s) 940, WAN950, enterprise network(s) 960, or SS7 network 970. In an aspect, memory930 can be, for example, accessed as part of a data store component oras a remotely connected memory store.

In order to provide a context for the various aspects of the disclosedsubject matter, FIG. 10, and the following discussion, are intended toprovide a brief, general description of a suitable environment in whichthe various aspects of the disclosed subject matter can be implemented.While the subject matter has been described above in the general contextof computer-executable instructions of a computer program that runs on acomputer and/or computers, those skilled in the art will recognize thatthe disclosed subject matter also can be implemented in combination withother program modules. Generally, program modules include routines,programs, components, data structures, etc., that perform particulartasks and/or implement particular abstract data types.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory, by way of illustration, and not limitation, volatilememory 1020 (see below), non-volatile memory 1022 (see below), diskstorage 1024 (see below), and memory storage 1046 (see below). Further,nonvolatile memory can be included in read only memory (ROM),programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable ROM (EEPROM), or flash memory. Volatile memory caninclude random access memory (RAM), which acts as external cache memory.By way of illustration and not limitation, RAM is available in manyforms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronousDRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM(ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM).Additionally, the disclosed memory components of systems or methodsherein are intended to comprise, without being limited to comprising,these and any other suitable types of memory.

Moreover, it will be noted that the disclosed subject matter can bepracticed with other computer system configurations, includingsingle-processor or multiprocessor computer systems, mini-computingdevices, mainframe computers, as well as personal computers, hand-heldcomputing devices (e.g., PDA, phone, watch, tablet computers, netbookcomputers, ...), microprocessor-based or programmable consumer orindustrial electronics, and the like. The illustrated aspects can alsobe practiced in distributed computing environments where tasks areperformed by remote processing devices that are linked through acommunications network; however, some if not all aspects of the subjectdisclosure can be practiced on stand-alone computers. In a distributedcomputing environment, program modules can be located in both local andremote memory storage devices.

FIG. 10 illustrates a block diagram of a computing system 1000 operableto execute the disclosed systems and methods in accordance with anembodiment. Computer 1012, which can be, for example, part of thehardware of a geographical redundancy component e.g., component 130, 23,330, etc., TFL component, e.g., 340, etc., a user equipment, e.g., UE502, etc., includes a processing unit 1014, a system memory 1016, and asystem bus 1018. System bus 1018 couples system components including,but not limited to, system memory 1016 to processing unit 1014.Processing unit 1014 can be any of various available processors. Dualmicroprocessors and other multiprocessor architectures also can beemployed as processing unit 1014.

System bus 1018 can be any of several types of bus structure(s)including a memory bus or a memory controller, a peripheral bus or anexternal bus, and/or a local bus using any variety of available busarchitectures including, but not limited to, Industrial StandardArchitecture (ISA), Micro-Channel Architecture (MSA), Extended ISA(EISA), Intelligent Drive Electronics, VESA Local Bus (VLB), PeripheralComponent Interconnect (PCI), Card Bus, Universal Serial Bus (USB),Advanced Graphics Port (AGP), Personal Computer Memory CardInternational Association bus (PCMCIA), Firewire (IEEE 1194), and SmallComputer Systems Interface (SCSI).

System memory 1016 can include volatile memory 1020 and nonvolatilememory 1022. A basic input/output system (BIOS), containing routines totransfer information between elements within computer 1012, such asduring start-up, can be stored in nonvolatile memory 1022. By way ofillustration, and not limitation, nonvolatile memory 1022 can includeROM, PROM, EPROM, EEPROM, or flash memory. Volatile memory 1020 includesRAM, which acts as external cache memory. By way of illustration and notlimitation, RAM is available in many forms such as SRAM, dynamic RAM(DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM),enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM(RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM(RDRAM).

Computer 1012 can also include removable/non-removable,volatile/non-volatile computer storage media. FIG. 10 illustrates, forexample, disk storage 1024. Disk storage 1024 includes, but is notlimited to, devices like a magnetic disk drive, floppy disk drive, tapedrive, flash memory card, or memory stick. In addition, disk storage1024 can include storage media separately or in combination with otherstorage media including, but not limited to, an optical disk drive suchas a compact disk ROM device (CD-ROM), CD recordable drive (CD-R Drive),CD rewritable drive (CD-RW Drive) or a digital versatile disk ROM drive(DVD-ROM). To facilitate connection of the disk storage devices 1024 tosystem bus 1018, a removable or non-removable interface is typicallyused, such as interface 1026.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

It can be noted that FIG. 10 describes software that acts as anintermediary between users and computer resources described in suitableoperating environment 1000. Such software includes an operating system1028. Operating system 1028, which can be stored on disk storage 1024,acts to control and allocate resources of computer system 1012. Systemapplications 1030 take advantage of the management of resources byoperating system 1028 through program modules 1032 and program data 1034stored either in system memory 1016 or on disk storage 1024. It is to benoted that the disclosed subject matter can be implemented with variousoperating systems or combinations of operating systems.

A user can enter commands or information into computer 1012 throughinput device(s) 1036. Input devices 1036 include, but are not limitedto, a pointing device such as a mouse, trackball, stylus, touch pad,keyboard, microphone, joystick, game pad, satellite dish, scanner, TVtuner card, digital camera, digital video camera, web camera, cellphone, smartphone, tablet computer, etc. These and other input devicesconnect to processing unit 1014 through system bus 1018 by way ofinterface port(s) 1038. Interface port(s) 1038 include, for example, aserial port, a parallel port, a game port, a universal serial bus (USB),an infrared port, a Bluetooth port, an IP port, or a logical portassociated with a wireless service, etc. Output device(s) 1040 use someof the same type of ports as input device(s) 1036.

Thus, for example, a USB port can be used to provide input to computer1012 and to output information from computer 1012 to an output device1040. Output adapter 1042 is provided to illustrate that there are someoutput devices 1040 like monitors, speakers, and printers, among otheroutput devices 1040, which use special adapters. Output adapters 1042include, by way of illustration and not limitation, video and soundcards that provide means of connection between output device 1040 andsystem bus 1018. It should be noted that other devices and/or systems ofdevices provide both input and output capabilities such as remotecomputer(s) 1044.

Computer 1012 can operate in a networked environment using logicalconnections to one or more remote computers, such as remote computer(s)1044. Remote computer(s) 1044 can be a personal computer, a server, arouter, a network PC, cloud storage, cloud service, a workstation, amicroprocessor based appliance, a peer device, or other common networknode and the like, and typically includes many or all of the elementsdescribed relative to computer 1012.

For purposes of brevity, only a memory storage device 1046 isillustrated with remote computer(s) 1044. Remote computer(s) 1044 islogically connected to computer 1012 through a network interface 1048and then physically connected by way of communication connection 1050.Network interface 1048 encompasses wire and/or wireless communicationnetworks such as local-area networks (LAN) and wide-area networks (WAN).LAN technologies include Fiber Distributed Data Interface (FDDI), CopperDistributed Data Interface (CDDI), Ethernet, Token Ring and the like.WAN technologies include, but are not limited to, point-to-point links,circuit-switching networks like Integrated Services Digital Networks(ISDN) and variations thereon, packet switching networks, and DigitalSubscriber Lines (DSL). As noted below, wireless technologies may beused in addition to or in place of the foregoing.

Communication connection(s) 1050 refer(s) to hardware/software employedto connect network interface 1048 to bus 1018. While communicationconnection 1050 is shown for illustrative clarity inside computer 1012,it can also be external to computer 1012. The hardware/software forconnection to network interface 1048 can include, for example, internaland external technologies such as modems, including regular telephonegrade modems, cable modems and DSL modems, ISDN adapters, and Ethernetcards.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the disclosed subject matter has been described inconnection with various embodiments and corresponding Figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

As it employed in the subject specification, the term “processor” canrefer to substantially any computing processing unit or devicecomprising, but not limited to comprising, single-core processors;single-processors with software multithread execution capability;multi-core processors; multi-core processors with software multithreadexecution capability; multi-core processors with hardware multithreadtechnology; parallel platforms; and parallel platforms with distributedshared memory. Additionally, a processor can refer to an integratedcircuit, an application specific integrated circuit (ASIC), a digitalsignal processor (DSP), a field programmable gate array (FPGA), aprogrammable logic controller (PLC), a complex programmable logic device(CPLD), a discrete gate or transistor logic, discrete hardwarecomponents, or any combination thereof designed to perform the functionsdescribed herein. Processors can exploit nano-scale architectures suchas, but not limited to, molecular and quantum-dot based transistors,switches and gates, in order to optimize space usage or enhanceperformance of user equipment. A processor may also be implemented as acombination of computing processing units.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can include both volatile andnonvolatile memory.

As used in this application, the terms “component,” “system,”“platform,” “layer,” “selector,” “interface,” and the like are intendedto refer to a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution. As an example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution,computer-executable instructions, a program, and/or a computer. By wayof illustration and not limitation, both an application running on aserver and the server can be a component. One or more components mayreside within a process and/or thread of execution and a component maybe localized on one computer and/or distributed between two or morecomputers. In addition, these components can execute from variouscomputer readable media having various data structures stored thereon.The components may communicate via local and/or remote processes such asin accordance with a signal having one or more data packets (e.g., datafrom one component interacting with another component in a local system,distributed system, and/or across a network such as the Internet withother systems via the signal). As another example, a component can be anapparatus with specific functionality provided by mechanical partsoperated by electric or electronic circuitry, which is operated by asoftware or firmware application executed by a processor, wherein theprocessor can be internal or external to the apparatus and executes atleast a part of the software or firmware application. As yet anotherexample, a component can be an apparatus that provides specificfunctionality through electronic components without mechanical parts,the electronic components can include a processor therein to executesoftware or firmware that confers at least in part the functionality ofthe electronic components. While various components have beenillustrated as separate components, it will be appreciated that multiplecomponents can be implemented as a single component, or a singlecomponent can be implemented as multiple components, without departingfrom example embodiments.

In addition, the term “or” is intended to mean an inclusive “or” ratherthan an exclusive “or.” That is, unless specified otherwise, or clearfrom context, “X employs A or B” is intended to mean any of the naturalinclusive permutations. That is, if X employs A; X employs B; or Xemploys both A and B, then “X employs A or B” is satisfied under any ofthe foregoing instances. Moreover, articles “a” and “an” as used in thesubject specification and annexed drawings should generally be construedto mean “one or more” unless specified otherwise or clear from contextto be directed to a singular form.

Moreover, terms like “user equipment (UE),” “mobile station,” “mobile,”subscriber station,” “subscriber equipment,” “access terminal,”“terminal,” “handset,” and similar terminology, refer to a wirelessdevice utilized by a subscriber or user of a wireless communicationservice to receive or convey data, control, voice, video, sound, gaming,or substantially any data-stream or signaling-stream. The foregoingterms are utilized interchangeably in the subject specification andrelated drawings. Likewise, the terms “radio,” “access point (AP),”“base station,” “Node B,” “evolved Node B (eNode B),” “home Node B(HNB),” “home access point (HAP),” and the like, are utilizedinterchangeably in the subject application, and refer to a wirelessnetwork component or appliance that serves and receives data, control,voice, video, sound, gaming, or substantially any data-stream orsignaling-stream to and from a set of subscriber stations or providerenabled devices. Data and signaling streams can include packetized orframe-based flows.

Additionally, the terms “core-network,” “core,” “core carrier network,”“carrier-side,” “carrier network,” or similar terms can refer tocomponents of a telecommunications network that typically provides someor all of aggregation, authentication, call control and switching,charging, service invocation, or gateways. Aggregation can refer to thehighest level of aggregation in a service provider network wherein thenext level in the hierarchy under the core nodes is the distributionnetworks and then the edge networks. UEs do not normally connectdirectly to the core networks of a large service provider but can berouted to the core by way of a switch or radio area network.Authentication can refer to determinations regarding whether the userrequesting a service from the telecom network is authorized to do sowithin this network or not. Call control and switching can referdeterminations related to the future course of a call stream acrosscarrier equipment based on the call signal processing. Charging can berelated to the collation and processing of charging data generated byvarious network nodes. Two common types of charging mechanisms found inpresent day networks can be prepaid charging and postpaid charging.Service invocation can occur based on some explicit action (e.g. calltransfer) or implicitly (e.g., call waiting). It is to be noted thatservice “execution” may or may not be a core network functionality asthird party network/nodes may take part in actual service execution. Agateway can be present in the core network to access other networks.Gateway functionality can be dependent on the type of the interface withanother network.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,”“prosumer,” “agent,” and the like are employed interchangeablythroughout the subject specification, unless context warrants particulardistinction(s) among the terms. It should be appreciated that such termscan refer to human entities or automated components (e.g., supportedthrough artificial intelligence, as through a capacity to makeinferences based on complex mathematical formalisms), that can providesimulated vision, sound recognition and so forth.

Aspects, features, or advantages of the subject matter can be exploitedin substantially any, or any, wired, broadcast, wirelesstelecommunication, radio technology or network, or combinations thereof.Non-limiting examples of such technologies or networks include Geocasttechnology; broadcast technologies (e.g., sub-Hz, ELF, VLF, LF, MF, HF,VHF, UHF, SHF, THz broadcasts, etc.); Ethernet; X.25; powerline-typenetworking (e.g., PowerLine AV Ethernet, etc.); femto-cell technology;Wi-Fi; Worldwide Interoperability for Microwave Access (WiMAX); EnhancedGeneral Packet Radio Service (Enhanced GPRS); Third GenerationPartnership Project (3GPP or 3G) Long Term Evolution (LTE); 3GPPUniversal Mobile Telecommunications System (UMTS) or 3GPP UMTS; ThirdGeneration Partnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB);High Speed Packet Access (HSPA); High Speed Downlink Packet Access(HSDPA); High Speed Uplink Packet Access (HSUPA); GSM Enhanced DataRates for GSM Evolution (EDGE) Radio Access Network (RAN) or GERAN; UMTSTerrestrial Radio Access Network (UTRAN); or LTE Advanced.

What has been described above includes examples of systems and methodsillustrative of the disclosed subject matter. It is, of course, notpossible to describe every combination of components or methods herein.One of ordinary skill in the art may recognize that many furthercombinations and permutations of the claimed subject matter arepossible. Furthermore, to the extent that the terms “includes,” “has,”“possesses,” and the like are used in the detailed description, claims,appendices and drawings such terms are intended to be inclusive in amanner similar to the term “comprising” as “comprising” is interpretedwhen employed as a transitional word in a claim.

What is claimed is:
 1. A system, comprising: at least one memory thatstores computer-executable instructions; at least one processor,communicatively coupled to the at least one memory, that facilitatesexecution of the computer-executable instructions to at least: receivegeographic information relating to a set of radios of a wirelessnetwork; and determine a level of geographic redundancy for a firstradio of the wireless network based on the geographic informationrelating to the set of radios including the first radio.
 2. The systemof claim 1, wherein the at least one processor further facilitates theexecution of the computer-executable instructions to determine the levelof geographic redundancy according to a binary determination.
 3. Thesystem of claim 1, wherein the at least one processor furtherfacilitates the execution of the computer-executable instructions todetermine the level of geographic redundancy as a function of at leastthree levels of geographic redundancy.
 4. The system of claim 1, whereinthe at least one memory further stores radio information comprising thegeographic information, wherein the geographic information includesrespective identifications and respective geographic locations of thefirst radio and at least two other radios of the set of radios.
 5. Thesystem of claim 4, wherein the at least one processor furtherfacilitates the execution of the computer-executable instructions toupdate the radio information based on the determined level of geographicredundancy.
 6. The system of claim 5, wherein the at least one processorfurther facilitates the execution of the computer-executableinstructions to determine timed fingerprint location information relatedto the set of radios.
 7. The system of claim 5, wherein the at least oneprocessor further facilitates the execution of the computer-executableinstructions to determine a rank value based on the determined level ofgeographic redundancy, wherein the rank value facilitates selection of aradio, of the set of radios, to facilitate determination of timedfingerprint location information.
 8. The system of claim 1, wherein theat least one processor further facilitates the execution of thecomputer-executable instructions to determine the level of geometricredundancy based on at least one rule.
 9. The system of claim 8, whereinthe at least one rule relates to a boundary condition to facilitate areduction in a quantity of determinations of the level of geometricredundancy for the set of radios.
 10. The system of claim 8, wherein theat least one rule relates to a threshold value associated with adistance between radios of the set of radios.
 11. The system of claim 8,wherein the at least one rule relates to at least one equation fordetermination of the level of geographic redundancy.
 12. The system ofclaim 11, wherein the at least one equation for determination of thelevel of geographic redundancy represents a two-part determination,wherein a first part of the two-part determination relates to a longestdistance and a second longest distance between three radios of the setof radios, and a second part of the two-part determination relates to ashortest distance between the three radios of the set of radios.
 13. Amethod, comprising: receiving, by a system including at least oneprocessor, geographic information relating to a set of radios, of awireless network; and determining, by the system, a level of geographicredundancy for a first radio of the wireless network based on thegeographic information relating to the set of radios including the firstradio.
 14. The method of claim 13, wherein the determining the level ofgeographic redundancy includes receiving geographic informationcomprising respective identifications and respective geographiclocations of the first radio and at least two other radios of the set ofradios.
 15. The method of claim 13, further comprising: updating, by thesystem, stored radio information based on the determined level ofgeographic redundancy.
 16. The method of claim 15, further comprising:selecting, by the system, a radio of the set of radios based on thedetermined level of geographic redundancy.
 17. The method of claim 16,further comprising: determining, by the system, location informationbased on information related to the selected radio.
 18. The method ofclaim 17, wherein the determining location information includesdetermining timed fingerprint location information related to theselected radio.
 19. A non-transitory computer-readable storage mediumstoring computer-executable instructions that, in response to execution,cause a system including a processor to perform operations, comprising:receiving predetermined information relating to levels of geographicredundancy for a set of radios of a wireless network; and determininglocation information based on information relating to a radio of the setof radios that is selected based, at least in part, on the predeterminedinformation.
 20. The non-transitory computer-readable storage medium ofclaim 19, wherein the determining location information includesdetermining timed fingerprint location information related to theselected radio.